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Machine learning-facilitated algorithm for operations optimization in thermal power plants
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AI
DOI：10.1016/j.cor.2026.107458.png)
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Abstract
En 中文
• MILP model optimizes coal combustion to minimize sulfur emissions. • Machine learning-enhanced column generation algorithm accelerates solving. • Deep neural networks with synthetic oversampling optimize column selection. • Proposed algorithm reduces computational time by 22.4% on average. • Real-world case study provides insights for power plant operation.
Keywords:
Mixed-Integer Linear Programming
Machine Learning
Column Generation
Sulfur Emission Reduction
Thermal Power Plants
Journal
C
IF:
4.3
Papers:
201
Citations:
0